PCA Index Dashboard Examples

PCA Index Dashboard Examples#

This script was last run at 2024-06-07 10:21:47.217420+00:00 (UTC)
In US/Central Time, this is 2024-06-07 05:21:47.217420-05:00
import matplotlib.pyplot as plt
import pandas as pd
import numpy as np

# Generating a random time series data
dates = pd.date_range(start="2021-01-01", end="2021-12-31", freq='D')
data = np.random.randn(len(dates)).cumsum()

# Creating the plot
plt.figure(figsize=(10, 6))
plt.plot(dates, data, label='Random Time Series', color='blue')
plt.title('Random Time Series Plot')
plt.xlabel('Date')
plt.ylabel('Value')
plt.legend()
plt.grid(True)
plt.xticks(rotation=45)
plt.tight_layout()

# Display the plot
plt.show()
print('We are just generating a random time serie here.')
../_images/1fdfa735210f6d16138026b19fc06117ed543d2d98433b0e4705e6dd66c22a80.png
We are just generating a random time serie here.
../_images/b2f2ed43c16f4315aa9abf07a8fc69ca9463f841f7a081d3ca1f02f6941f9db1.png
../_images/2281b5ed4ce433b3c1b8fa8382225f56151ef775ed35e6999ca7e62d624ee635.png